[ADMB Users] mcpin

Mark Maunder mmaunder at iattc.org
Tue Jan 31 16:09:22 PST 2012

I think there is, but not sure how to do it.

-----Original Message-----
From: Mollie Brooks [mailto:mbrooks at ufl.edu] 
Sent: Tuesday, January 31, 2012 3:12 PM
To: Mark Maunder
Cc: ADMB Users
Subject: Re: [ADMB Users] mcpin

Thanks Mark. 
I think I already estimated the variance covariance matrix in the first model run. Is there a way to give it to ADMB?

On 31 Jan 2012, at 5:47 PM, Mark Maunder wrote:

> You also need the variance-covariance matrix for the jumping rule. You could use 
> xxxx -ainp xxxx.par -mcmc 100000000
> To start the model at the parameter estimates (makes it run quicker), estimate the hessian (will take some time), and run the mcmc
> -----Original Message-----
> From: users-bounces at admb-project.org [mailto:users-bounces at admb-project.org] On Behalf Of Mollie Brooks
> Sent: Tuesday, January 31, 2012 2:16 PM
> To: ADMB Users
> Subject: [ADMB Users] mcpin
> Hi,
> I have already found point estimates for the parameters of my model. Now I'm interested in doing mcmc sampling. 
> Can I use the command line option -mcpin to start the mcmc sampling at the values stored in model.par without redoing the maximum likelihood estimation? The manual talks about using -mcpin with values from profiling, but I can't do profiling because I'm interested in the distribution of the variance parameters of random effects.
> thanks,
> Mollie
> Mollie Brooks
> Ph.D. Candidate
> NSF IGERT Fellow
> Biology Department
> University of Florida
> mbrooks at ufl.edu
> http://people.biology.ufl.edu/mbrooks
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